Triple
T2390032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domino Park |
E48918
|
entity |
| Predicate | attractsAgeGroup |
P38142
|
FINISHED |
| Object | seniors |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: seniors | Statement: [Domino Park, attractsAgeGroup, seniors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: attractsAgeGroup Context triple: [Domino Park, attractsAgeGroup, seniors]
-
A.
ageRange
Indicates the span of ages within which an entity or relationship is considered valid or applicable.
-
B.
ageGroup
Indicates the categorical age range or bracket to which an entity belongs.
-
C.
attracts
Indicates that one entity exerts a force or influence that draws another entity toward it.
-
D.
attractsParticipantsFrom
Indicates that an event, activity, or organization draws or recruits participants originating from a specified place, group, or source.
-
E.
portraysAgeGroup
Indicates that one entity depicts or represents another entity as belonging to a particular age group.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc7de1478819082238e8b8f88ed06 |
completed | March 7, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69abc5a1b5748190b4cd8989700f4dd2 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc682d094819081a96ffb77c4c42a |
completed | March 7, 2026, 6:32 a.m. |
Created at: March 4, 2026, 7:57 p.m.